kurt-o-sys commented on issue #7349: time series delay output mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/7349#issuecomment-321361000
Oh yeah, this may be important: I'm defining the model separately from the
training data:
```
input <- mx.symbol.Variable("data")
guess.add <- mx.symbol.slice(input, name=guesses added/removed",
begin=0, end=7)
...
game.trend <- mx.symbol.RNN(..., name="game trend",
mode="gru", num.layers=1, state.size=1)
regression <- mx.symbol.LinearRegressionOutput(lpeaks, name="final
regression")
```
I asked the question above before getting into the mxnet api itself. The
question would be: do I need to unroll it first, so I can use
mx.model.FeedForward.create to train it? Or is there a way to use the model as
it is and feed it with a time-series dataset for training?
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